This thesis explores how the problem of players wanting to test out and practice the mechanics they were taught in the tutorial can be solved. The objective of this research was to discover how AI can be used to increase user engagement in this Naval Warfare game, resulting in more interest in Thales …

Editorial on the Research Topic "Leveraging artificial intelligence and open science for toxicological risk assessment"

Machine learning models use high dimensional feature spaces to map their inputs to the corresponding class labels. However, these features often do not have a one-to-one correspondence with physical concepts understandable by humans, which hinders the ability to provide a meaningful explanation for the …

A modified genetic algorithm (MGA) optimization procedure, alongside time series machine learning (ML) classifiers, is proposed to minimize handovers in a digital twin-based visible light communication (VLC) system. Frequent handovers have a direct impact on the overall performance of the VLC system …

Presentation held at AIGrunn Conference about Implementing machine learning techniques in Human Digital Twins.

In recent decades, the number of cases of knee arthroplasty among people of working age has increased. The integrated clinical pathway ‘back at work after surgery’ is an initiative to reduce the possible cost of sick leave. The evaluation of this pathway, like many clinical studies, faces the challenge …

This paper investigate to use of information technology, i.e. machine learning algorithms for water assessment in Timor-Leste. It is essential to access clean water to ensure the safety for humans and others livings in this world. The Water Quality Index (WQI) is the standard tool for assessing water …

In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …